| Location: | Colorado Springs, CO, USA | Pay Rate: | $130000 - $180000 per hour |
| Pay Type: | per hour | Employment Type: | Full Time |
We are seeking a Senior High Performance Computing (HPC) Software Engineer to support an advanced R&D program in Colorado Springs. In this role, you'll work directly with scientists, engineers, and HPC users to support modeling and simulation (M&S) applications within a high-performance Linux computing environment.
You will be part of the Technical User Support (TUS) team, helping users run, optimize, and troubleshoot complex workloads while also contributing to software development and system improvements. This is an exciting opportunity to work alongside leading researchers on mission-critical technologies.
What You'll Do
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Support researchers and engineers using HPC systems for modeling and simulation workloads
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Troubleshoot and optimize Linux-based HPC environments and user workflows
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Develop, maintain, and debug scientific software and tools
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Work with existing codebases to improve performance and reliability
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Collaborate with the Technical User Support team, program scientists, and end users
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Provide guidance and mentorship to junior engineers and researchers
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Deliver training sessions and documentation for HPC users
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Contribute to the full software development lifecycle including design, coding, testing, and documentation
What We're Looking For
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Active TS/SCI with CI Polygraph (required to start)
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Bachelor's degree in a STEM field
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10+ years of professional experience in software engineering or related field
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Experience with High Performance Computing (HPC) environments
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Background supporting modeling and simulation (M&S) applications
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Proficiency with Fortran, C, or C++
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Experience with Linux systems and shell scripting (BASH or Korn)
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Ability to troubleshoot complex systems and support end users in a lab environment
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Strong debugging skills and experience maintaining existing code bases
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Excellent communication and collaboration skills
Nice to Have
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Experience working with scientific computing or research environments
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Familiarity with distributed computing systems or HPC clusters
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Experience mentoring engineers or providing technical training
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Apply Now